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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국경영정보학회 Asia pacific journal of information systems Asia pacific journal of information systems 제24권 제4호
- 발행연도
- 2014.1
- 수록면
- 443 - 472 (30page)
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초록· 키워드
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To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyz
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참고문헌 (67)
참고문헌 신청
Agrawal, D. / 2011 / Big data and cloud computing: current state and future opportunities / Proceedings of the 14th International Conference on Extending Database Technology
An, C.W. / 2012 / Big Data technology and key issues / Journal of KIISE 30(6):10~17
Awa, H. / 2010 / The Uptake of Electronic Commerce by SMES: A Meta Theoretical Framework Expanding the Determining Constructs of TAM and TOE Frameworks / Journal of Global Business and Technology 6(1):1~27
Bakos, J. Yannis / 1986 / Information technology and corporate strategy:a research perspective / MIS quarterly 10(2):107~119
Barua, A. / 1995 / Information Technology and Business Value: An Analysis and Empirical Investigation / Information Systems Research 6(1):3~23
An, C.W. / 2012 / Big Data technology and key issues / Journal of KIISE 30(6):10~17
Awa, H. / 2010 / The Uptake of Electronic Commerce by SMES: A Meta Theoretical Framework Expanding the Determining Constructs of TAM and TOE Frameworks / Journal of Global Business and Technology 6(1):1~27
Bakos, J. Yannis / 1986 / Information technology and corporate strategy:a research perspective / MIS quarterly 10(2):107~119
Barua, A. / 1995 / Information Technology and Business Value: An Analysis and Empirical Investigation / Information Systems Research 6(1):3~23
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